Seyed‐Mahdi Khaligh‐Razavi

Deep Supervised, but Not Unsupervised, Models May Explain IT Cortical Representation

Seyed‐Mahdi Khaligh‐Razavi, Nikolaus Kriegeskorte · PLoS Computational Biology · 2014 · 1.3K citations · Full text

Convolutional Neural Network, Engineering, Object Categorization +23

Beyond core object recognition: Recurrent processes account for object recognition under occlusion

Karim Rajaei, Yalda Mohsenzadeh, Reza Ebrahimpour et al. · PLoS Computational Biology · 2019 · 119 citations · Full text

Convolutional Neural Network, Engineering, Object Categorization +19

Perceptual similarity of visual patterns predicts dynamic neural activation patterns measured with MEG

Susan G. Wardle, Nikolaus Kriegeskorte, Tijl Grootswagers et al. · NeuroImage · 2016 · 104 citations

Early Vision, Cognitive Science, Perceptual Similarity +9

Fixed versus mixed RSA: Explaining visual representations by fixed and mixed feature sets from shallow and deep computational models

Seyed‐Mahdi Khaligh‐Razavi, Linda Henriksson, Kendrick Kay et al. · Journal of Mathematical Psychology · 2016 · 82 citations · Full text

Engineering, Machine Learning, Object Categorization +24

Visual representations are dominated by intrinsic fluctuations correlated between areas

Linda Henriksson, Seyed‐Mahdi Khaligh‐Razavi, Kendrick Kay et al. · NeuroImage · 2015 · 73 citations · Full text